Fu‐Ming Kuo

559 total citations
8 papers, 489 citations indexed

About

Fu‐Ming Kuo is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Fu‐Ming Kuo has authored 8 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Molecular Biology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Fu‐Ming Kuo's work include Synthesis and biological activity (4 papers), Click Chemistry and Applications (3 papers) and Cancer therapeutics and mechanisms (2 papers). Fu‐Ming Kuo is often cited by papers focused on Synthesis and biological activity (4 papers), Click Chemistry and Applications (3 papers) and Cancer therapeutics and mechanisms (2 papers). Fu‐Ming Kuo collaborates with scholars based in Taiwan, India and Russia. Fu‐Ming Kuo's co-authors include Hsing‐Pang Hsieh, Chun-Wei Chang, Jang‐Yang Chang, Jing‐Ping Liou, Chi-Yen Chang, Shiow‐Ju Lee, Mohane Selvaraj Coumar, Yung‐Ning Yang, Neeraj Mahindroo and Hui-Yi Shiao and has published in prestigious journals such as Journal of Medicinal Chemistry, ChemMedChem and Bioorganic Chemistry.

In The Last Decade

Fu‐Ming Kuo

7 papers receiving 482 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fu‐Ming Kuo Taiwan 6 406 135 82 56 44 8 489
Ashish Radadiya India 11 515 1.3× 188 1.4× 102 1.2× 54 1.0× 32 0.7× 20 715
Mahamadhanif S. Shaikh South Africa 11 390 1.0× 185 1.4× 82 1.0× 50 0.9× 34 0.8× 25 562
Jérémie Fournier Dit Chabert France 9 588 1.4× 187 1.4× 88 1.1× 39 0.7× 38 0.9× 10 677
Dhanushya Gopal United States 6 401 1.0× 206 1.5× 88 1.1× 69 1.2× 30 0.7× 9 522
Viktor V. Vintonyak Germany 12 628 1.5× 299 2.2× 106 1.3× 54 1.0× 43 1.0× 14 824
Yeh-Long Chen Taiwan 15 308 0.8× 278 2.1× 69 0.8× 80 1.4× 100 2.3× 23 568
Katja Hübel Germany 12 486 1.2× 255 1.9× 73 0.9× 24 0.4× 25 0.6× 13 696
Giuseppina Grisolia Italy 10 296 0.7× 216 1.6× 51 0.6× 59 1.1× 23 0.5× 12 520
Canhui Zheng China 14 257 0.6× 227 1.7× 57 0.7× 47 0.8× 15 0.3× 37 446
Liming Ni United States 6 245 0.6× 116 0.9× 46 0.6× 33 0.6× 27 0.6× 6 336

Countries citing papers authored by Fu‐Ming Kuo

Since Specialization
Citations

This map shows the geographic impact of Fu‐Ming Kuo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fu‐Ming Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu‐Ming Kuo more than expected).

Fields of papers citing papers by Fu‐Ming Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Ming Kuo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fu‐Ming Kuo. The network helps show where Fu‐Ming Kuo may publish in the future.

Co-authorship network of co-authors of Fu‐Ming Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Fu‐Ming Kuo. A scholar is included among the top collaborators of Fu‐Ming Kuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fu‐Ming Kuo. Fu‐Ming Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Peng, Yi‐Hui, Mu‐Chun Li, Wan-Ching Yen, et al.. (2025). Structure-Based Design of Potent and Selective MerTK Inhibitors by Modulating the Conformation of αC Helix. Journal of Medicinal Chemistry. 68(11). 10877–10896.
2.
Lin, Shu‐Yu, Mohane Selvaraj Coumar, Fu‐Ming Kuo, et al.. (2020). Drug-like property optimization: Discovery of orally bioavailable quinazoline-based multi-targeted kinase inhibitors. Bioorganic Chemistry. 98. 103689–103689. 9 indexed citations
3.
Lin, Shu‐Yu, Yi-Yu Ke, Wen‐Hsing Lin, et al.. (2019). Discovery of a Furanopyrimidine-Based Epidermal Growth Factor Receptor Inhibitor (DBPR112) as a Clinical Candidate for the Treatment of Non-Small Cell Lung Cancer. Journal of Medicinal Chemistry. 62(22). 10108–10123. 30 indexed citations
4.
Coumar, Mohane Selvaraj, Yen‐Chun Lee, Shengkai Ko, et al.. (2012). Anti‐influenza Drug Discovery: Identification of an Orally Bioavailable Quinoline Derivative through Activity‐ and Property‐Guided Lead Optimization. ChemMedChem. 7(9). 1546–1550. 5 indexed citations
5.
Coumar, Mohane Selvaraj, Jim‐Tong Horng, Hui-Yi Shiao, et al.. (2010). Anti-Influenza Drug Discovery: Structure−Activity Relationship and Mechanistic Insight into Novel Angelicin Derivatives. Journal of Medicinal Chemistry. 53(4). 1519–1533. 138 indexed citations
6.
Wu, Yu-Shan, Mohane Selvaraj Coumar, Jang‐Yang Chang, et al.. (2009). Synthesis and Evaluation of 3-Aroylindoles as Anticancer Agents: Metabolite Approach. Journal of Medicinal Chemistry. 52(15). 4941–4945. 82 indexed citations
7.
Liou, Jing‐Ping, Fu‐Ming Kuo, Chun-Wei Chang, et al.. (2004). Concise Synthesis and Structure−Activity Relationships of Combretastatin A-4 Analogues, 1-Aroylindoles and 3-Aroylindoles, as Novel Classes of Potent Antitubulin Agents. Journal of Medicinal Chemistry. 47(17). 4247–4257. 140 indexed citations
8.
Liou, Jing‐Ping, Jang‐Yang Chang, Chun-Wei Chang, et al.. (2004). Synthesis and Structure−Activity Relationships of 3-Aminobenzophenones as Antimitotic Agents. Journal of Medicinal Chemistry. 47(11). 2897–2905. 85 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026